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2002.11451
Cited By

Automated Augmented Conjugate Inference for Non-conjugate Gaussian
Process Models

Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020

26 February 2020

Théo Galy-Fajou

ArXiv (abs)PDF HTML

Papers citing "Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models"

3 / 3 papers shown

Hyperbolic Secant representation of the logistic function: Application
to probabilistic Multiple Instance Learning for CT intracranial hemorrhage
detection

Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection

Francisco M. Castro-Macías

Pablo Morales-Álvarez

Aggelos K. Katsaggelos

224

6

0

21 Mar 2024

Personalized Federated Learning with Gaussian Processes

Personalized Federated Learning with Gaussian ProcessesNeural Information Processing Systems (NeurIPS), 2021

342

131

0

29 Jun 2021

GaussianProcesses.jl: A Nonparametric Bayes package for the Julia
Language

GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language

Jamie Fairbrother

Christopher Nemeth

281

30

0

21 Dec 2018

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